AI-powered infrastructure monitoring — health, incidents, predictions, RCA, deploy safety
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Uptimebolt MCP Server is an MCP server that AI-powered infrastructure monitoring — health, incidents, predictions, RCA, deploy safety. Its tool list has not been published yet over stdio and http, requires no API key, and scores 75/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"uptimebolt": {
"env": {
"UPTIMEBOLT_API_KEY": "your-api-key",
"UPTIMEBOLT_API_URL": "https://api.uptimebolt.io"
},
"command": "uptimebolt-mcp"
}
}
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AI-powered infrastructure monitoring tools for Claude, Claude Code, Cursor, and any MCP-compatible client.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@uptimebolt/mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
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AI-powered infrastructure monitoring tools for Claude, Claude Code, Cursor, and any MCP-compatible client.
UptimeBolt is an AI-first monitoring platform that groups monitors into logical business services, predicts cascade failures before they happen, and automatically identifies which deploy caused each incident — including the commit, files, and lines of code responsible.
Built by CLM Cloud Solutions in Madrid, Spain.
Ask your infrastructure questions in natural language. Instead of navigating dashboards, let your AI assistant query real-time monitoring data directly:
npm install -g @uptimebolt/mcp-server
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"uptimebolt": {
"command": "uptimebolt-mcp",
"env": {
"UPTIMEBOLT_API_KEY": "your-api-key",
"UPTIMEBOLT_API_URL": "https://api.uptimebolt.io"
}
}
}
}
Or without global install, using npx:
{
"mcpServers": {
"uptimebolt": {
"command": "npx",
"args": ["-y", "--package=@uptimebolt/mcp-server", "uptimebolt-mcp"],
"env": {
"UPTIMEBOLT_API_KEY": "your-api-key",
"UPTIMEBOLT_API_URL": "https://api.uptimebolt.io"
}
}
}
}
Add to your project's .mcp.json:
{
"mcpServers": {
"uptimebolt": {
"command": "uptimebolt-mcp",
"env": {
"UPTIMEBOLT_API_KEY": "your-api-key",
"UPTIMEBOLT_API_URL": "https://api.uptimebolt.io"
}
}
}
}
docker run -p 3100:3100 \
-e UPTIMEBOLT_API_URL=https://api.uptimebolt.io \
ghcr.io/clm-cloud-solutions/uptimebolt-mcp-server:latest
Then connect via mcp-remote:
{
"mcpServers": {
"uptimebolt": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://localhost:3100/mcp", "--header", "x-api-key:your-api-key"]
}
}
}
npm install @uptimebolt/mcp-server
import { TOOLS, HANDLERS } from "@uptimebolt/mcp-server";
// TOOLS — MCP tool definitions (10 tools)
// HANDLERS — tool handler functions: (args, context?) => Promise<result>
| Tool | Description |
|---|---|
get_service_status | Health status of business services with health score (0-100), monitor breakdown, and active incidents |
get_monitors | List all monitors with operational status, response time, and uptime percentage |
get_monitor_health | Detailed health for a specific monitor including response time trends and active predictions |
get_monitor_metrics | Response time stats (avg, p95, p99), uptime percentage, and error breakdown |
get_incidents | Active and resolved incidents with optional AI root cause analysis details |
get_predictions | AI predictions for upcoming issues with co |